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think

Record structured reasoning steps to plan, analyze, and process complex multi-step tasks before acting. Use when you need to navigate detailed policies or challenge conclusions.

Instructions

Use this tool to record a structured reasoning step. It will not obtain new information or change any state — it appends your thought to the log. Use it when you need to: process results from previous tool calls before acting, plan your approach to a multi-step task, analyze a complex situation before deciding, or navigate environments with detailed policies. Do NOT use for simple single-step tasks or restating without analysis. When thinking, ask yourself: What am I assuming? What evidence supports this? What's my plan, and what could go wrong? You can adjust totalThoughts up or down as your understanding deepens. When you set nextThoughtNeeded to false, use the verify tool to challenge your conclusion before acting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thoughtYesYour current thinking step.
thoughtNumberYesCurrent thought number in the sequence.
totalThoughtsYesEstimated total thoughts needed. Can be adjusted up or down as you progress.
nextThoughtNeededYesWhether another thinking step is needed after this one.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Clearly states the tool is non-destructive and read-only: 'It will not obtain new information or change any state — it appends your thought to the log.' This is fully transparent about its behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is longer than necessary, including some meta-cognitive advice that could be seen as extraneous. While front-loaded, it could be more concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, the description covers the main aspects: purpose, usage, and behavior. It also references the sibling tool and provides procedural tips, making it fairly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage, so baseline is 3. The description adds value by explaining how to use parameters like adjusting totalThoughts and using verify when nextThoughtNeeded is false.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'record a structured reasoning step.' It specifies it does not obtain new information or change state, and it distinguishes itself from the sibling tool 'verify' by explaining when to use each.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on when to use (processing results, planning, analyzing, navigating policies) and when not to use (simple single-step tasks, restating without analysis). Also instructs to use the verify tool after the final thought.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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